Tiny Model · 50% Compressed · Native Tool Calling · Thinking & Non-Thinking Modes LittleLamb 0.3B Tool-Calling is a tool-calling–optimized variant of LittleLamb 0.3B at 290M parameters, developed based on Qwen3-0.6B by Multiverse Computing. Built on top of the CompactifAI-compressed LittleLamb base, this variant has been additionally fine-tuned for function calling, structured outputs, and agentic workflows. It supports thinking and non-thinking modes while adding native tool-use support in a sub-300M-parameter footprint. ————- | —————————————————————————————————————- | — Tool-calling–optimized variant of LittleLamb 0.3B, fine-tuned for function calling and structured outputs. — Ultra-compact at 290M parameters, suitable for edge and on-device deployment with agentic capabilities. — Developed based on Qwen3-0.6B with CompactifAI compression (~50% parameter reduction vs. base non-embedding count). LittleLamb 0.3B Tool-Calling inherits Qwen3’s dual-mode capability, supporting seamless switching between thinking mode (for complex reasoning) and non-thinking mode (for efficient general-purpose…
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Автор: MultiverseComputingCAI
Теги: qwen3, conversational, text-generation-inference, endpoints_compatible
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
